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CovCombR

Combine partial covariance or relationship matrices from independent experiments.

Combine partial covariance matrices using a Wishart-EM algorithm. Methods are described in the November 2019 article by Akdemir et al. (https://www.biorxiv.org/content/10.1101/857425v1). It can be used to combine partially overlapping covariance matrices from independent trials, partially overlapping multi-view relationship data from genomic experiments, partially overlapping Gaussian graphs described by their covariance structures. This is useful for high dimensional covariance estimation, multi-view data integration, high dimensional covariance graph estimation.

Installation

devtools::install_github("denizakdemir/CovCombR")

Basic Usage

library(CovCombR)



data("mtcars")
my_data <- mtcars[, c(1,3,4,5)]
dim(my_data)
# print the first 6 rows
head(my_data, 6)
#Artificially making 3 partial covariance matrices! 
#These are the partial covariances obtained from 
#independent  multi-view experiments.
set.seed(123)
cov12<-cov(my_data[sample(nrow(my_data),20),1:2])
cov23<-cov(my_data[sample(nrow(my_data),20),2:3])
cov34<-cov(my_data[sample(nrow(my_data),20),3:4])

# Combine covariances using the package
Combined<-CovComb(Klist=list(cov12,cov23,cov34))

# Actual covariance using all data
Actual<-cov(my_data)

#Compare results
round(Combined,2)
#Result
#         mpg     disp      hp   drat
#mpg    42.97  -656.51 -183.02   1.09
#disp -656.51 13724.62 5175.68 -31.00
#hp   -183.02  5175.68 3855.31 -23.41
#drat    1.09   -31.00  -23.41   0.28
round(Actual,2)
#Result
#         mpg     disp      hp   drat
#mpg    36.32  -633.10 -320.73   2.20
#disp -633.10 15360.80 6721.16 -47.06
#hp   -320.73  6721.16 4700.87 -16.45
#drat    2.20   -47.06  -16.45   0.29

Another example


cov12<-cov(my_data[sample(nrow(my_data),20),c(1,2)])
cov13<-cov(my_data[sample(nrow(my_data),20),c(1,3)])
cov14<-cov(my_data[sample(nrow(my_data),20),c(1,4)])


Combined<-CovComb(Klist=list(cov12,cov13,cov14))
Actual<-cov(my_data)
round(Combined,2)
#         mpg     disp      hp   drat
#mpg    41.11  -770.23 -347.78   2.66
#disp -770.23 18253.89 5140.44 -48.71
#hp   -347.78  5140.44 5233.73 -21.01
#drat    2.66   -48.71  -21.01   0.30
round(Actual,2)
#         mpg     disp      hp   drat
#mpg    36.32  -633.10 -320.73   2.20
#disp -633.10 15360.80 6721.16 -47.06
#hp   -320.73  6721.16 4700.87 -16.45
#drat    2.20   -47.06  -16.45   0.29

Vignette

vignette("CovCombR")

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Version

Install

install.packages('CovCombR')

Monthly Downloads

32

Version

1.0

License

GPL

Maintainer

Deniz Akdemir

Last Published

January 18th, 2020

Functions in CovCombR (1.0)

GetVarCov

Asymptotic variance-covariance of the estimators
CovComb

Programs to combine partially observed (high dimensional) covariance matrices. Combining datasets this way, using relationships, is an alternative to imputation.
BarleyPheno

Phenotype data from 194 phenotype trials
CovCombR-package

CovCombR